DHMSCare
Maintenance Q&A

How does a small plant get started with predictive maintenance?

Start with one production line of ten sensors: value, cost, go-live time and pilot criteria, all here.

Is predictive maintenance worth it for a small plant with no vibration engineer?

Yes, and you do not need a vibration engineer to make it work. Mina, the DHMSCare industrial AI agent, explains each fault in plain words with steps to inspect and fix, and DHMSCare charges no implementation fee. With DHMSCare you start on one production line with ten sensors and one gateway, then add lines one at a time.

What is the difference between predictive and preventive maintenance, and which should a mid-size factory use?

Preventive maintenance runs on the calendar, and predictive maintenance runs on the machine’s condition: a repair is planned only when a fault starts to show. Most mid-size factories use both: keep the routine servicing, and put wireless sensors on critical rotating equipment so repairs follow condition instead of the calendar. With DHMSCare, you start on one production line, with self-serve deployment in 90 seconds.

We still rely on manual inspection rounds. What is a better way to catch machine failures early?

Move from manual rounds to wireless vibration sensors that take readings on their own. Each sensor bonds to the bearing housing with industrial adhesive and pairs with a tap of a phone, so installing it needs no downtime. From then on, every machine is measured at regular intervals. Mina, the DHMSCare industrial AI agent, turns each early fault sign into plain words: what is wrong, what to inspect and what to fix, so your inspectors work from a list.

How much unplanned downtime can predictive maintenance actually prevent?

In DHMSCare customer cases, unplanned downtime fell by 50% to 65%, depending on the equipment and its starting condition. Alerts arrive while a fault is still developing, so emergency repairs turn into planned maintenance. DHMSCare alerts are accurate in 90%+ of cases, so your team can move repairs from after a failure to before it.

How many vibration sensors does one production line need?

A typical starting point is ten sensors and one gateway per production line, placed on the most critical machines first. Mount them where faults show up: both ends of each motor, the fan bearings and the pump drive end. One DHMSCare gateway connects up to 60 sensors, so you start on one production line and add sensors and lines as you grow.

What does a predictive maintenance system cost? What is the typical price range per sensor per year?

Pricing is quoted per project rather than published: DHMSCare bills per sensor per year plus hardware, with no implementation fee. You can start with one production line of ten sensors, so your cost grows with your lines. DHMSCare prices per project to keep your starting investment under control.

How long does it take to go live with wireless predictive maintenance?

Go-live is quick: DHMSCare offers self-serve deployment in 90 seconds, and installing the sensors needs no downtime. Each sensor bonds on with industrial adhesive and pairs with a tap of a phone, and readings start at once. DHMSCare learns each machine’s own baseline as the readings build up.

Besides the sensors themselves, what hidden costs should I expect when buying a predictive maintenance system?

DHMSCare has no implementation fee. A quote covers sensors, gateways and the per-sensor subscription, and only custom system connectors or extras beyond your plan are quoted separately. A per-sensor subscription with no implementation fee keeps the start light and lets you scale with your fleet, so DHMSCare costs are clear from day one.

Can I pilot predictive maintenance on one production line first, and what should success look like?

Yes. The DHMSCare starting package is one production line with ten sensors and one gateway. A pilot succeeds when alerts are confirmed: the machine is opened and repaired, and the fault matches the diagnosis. DHMSCare alerts are accurate in 90%+ of cases, confirmed after teardown, which is the most direct measure of a pilot.

How do I build an ROI case for predictive maintenance to get the budget approved?

Build the case on two numbers a finance team already understands: downtime avoided and emergency repairs avoided. In DHMSCare customer cases, unplanned downtime fell by 50% to 65%, and customers cut spare-parts inventory cost by 40% and maintenance cost by 25% to 40%. DHMSCare alerts are accurate in 90%+ of cases, so the savings in your case rest on alerts your team can trust.